예제 #1
0
        public virtual void TestRandomDoubles()
        {
            Directory         dir = NewDirectory();
            RandomIndexWriter w   = new RandomIndexWriter(Random(), dir, Similarity, TimeZone);

            int numDocs = AtLeast(1000);

            double[] values   = new double[numDocs];
            double   minValue = double.PositiveInfinity;
            double   maxValue = double.NegativeInfinity;

            for (int i = 0; i < numDocs; i++)
            {
                Document doc = new Document();
                double   v   = Random().NextDouble();
                values[i] = v;
                doc.Add(new DoubleDocValuesField("field", v));
                doc.Add(new DoubleField("field", v, Field.Store.NO));
                w.AddDocument(doc);
                minValue = Math.Min(minValue, v);
                maxValue = Math.Max(maxValue, v);
            }
            IndexReader r = w.Reader;

            IndexSearcher s      = NewSearcher(r);
            FacetsConfig  config = new FacetsConfig();

            int numIters = AtLeast(10);

            for (int iter = 0; iter < numIters; iter++)
            {
                if (VERBOSE)
                {
                    Console.WriteLine("TEST: iter=" + iter);
                }
                int           numRange         = TestUtil.NextInt(Random(), 1, 5);
                DoubleRange[] ranges           = new DoubleRange[numRange];
                int[]         expectedCounts   = new int[numRange];
                double        minAcceptedValue = double.PositiveInfinity;
                double        maxAcceptedValue = double.NegativeInfinity;
                for (int rangeID = 0; rangeID < numRange; rangeID++)
                {
                    double min;
                    if (rangeID > 0 && Random().Next(10) == 7)
                    {
                        // Use an existing boundary:
                        DoubleRange prevRange = ranges[Random().Next(rangeID)];
                        if (Random().NextBoolean())
                        {
                            min = prevRange.Min;
                        }
                        else
                        {
                            min = prevRange.Max;
                        }
                    }
                    else
                    {
                        min = Random().NextDouble();
                    }
                    double max;
                    if (rangeID > 0 && Random().Next(10) == 7)
                    {
                        // Use an existing boundary:
                        DoubleRange prevRange = ranges[Random().Next(rangeID)];
                        if (Random().NextBoolean())
                        {
                            max = prevRange.Min;
                        }
                        else
                        {
                            max = prevRange.Max;
                        }
                    }
                    else
                    {
                        max = Random().NextDouble();
                    }

                    if (min > max)
                    {
                        double x = min;
                        min = max;
                        max = x;
                    }

                    bool minIncl;
                    bool maxIncl;
                    if (min == max)
                    {
                        minIncl = true;
                        maxIncl = true;
                    }
                    else
                    {
                        minIncl = Random().NextBoolean();
                        maxIncl = Random().NextBoolean();
                    }
                    ranges[rangeID] = new DoubleRange("r" + rangeID, min, minIncl, max, maxIncl);

                    // Do "slow but hopefully correct" computation of
                    // expected count:
                    for (int i = 0; i < numDocs; i++)
                    {
                        bool accept = true;
                        if (minIncl)
                        {
                            accept &= values[i] >= min;
                        }
                        else
                        {
                            accept &= values[i] > min;
                        }
                        if (maxIncl)
                        {
                            accept &= values[i] <= max;
                        }
                        else
                        {
                            accept &= values[i] < max;
                        }
                        if (accept)
                        {
                            expectedCounts[rangeID]++;
                            minAcceptedValue = Math.Min(minAcceptedValue, values[i]);
                            maxAcceptedValue = Math.Max(maxAcceptedValue, values[i]);
                        }
                    }
                }

                FacetsCollector sfc = new FacetsCollector();
                s.Search(new MatchAllDocsQuery(), sfc);
                Filter fastMatchFilter;
                if (Random().NextBoolean())
                {
                    if (Random().NextBoolean())
                    {
                        fastMatchFilter = NumericRangeFilter.NewDoubleRange("field", minValue, maxValue, true, true);
                    }
                    else
                    {
                        fastMatchFilter = NumericRangeFilter.NewDoubleRange("field", minAcceptedValue, maxAcceptedValue, true, true);
                    }
                }
                else
                {
                    fastMatchFilter = null;
                }
                ValueSource vs     = new DoubleFieldSource("field");
                Facets      facets = new DoubleRangeFacetCounts("field", vs, sfc, fastMatchFilter, ranges);
                FacetResult result = facets.GetTopChildren(10, "field");
                Assert.AreEqual(numRange, result.LabelValues.Length);
                for (int rangeID = 0; rangeID < numRange; rangeID++)
                {
                    if (VERBOSE)
                    {
                        Console.WriteLine("  range " + rangeID + " expectedCount=" + expectedCounts[rangeID]);
                    }
                    LabelAndValue subNode = result.LabelValues[rangeID];
                    Assert.AreEqual("r" + rangeID, subNode.Label);
                    Assert.AreEqual(expectedCounts[rangeID], (int)subNode.Value);

                    DoubleRange range = ranges[rangeID];

                    // Test drill-down:
                    DrillDownQuery ddq = new DrillDownQuery(config);
                    if (Random().NextBoolean())
                    {
                        if (Random().NextBoolean())
                        {
                            ddq.Add("field", NumericRangeFilter.NewDoubleRange("field", range.Min, range.Max, range.MinInclusive, range.MaxInclusive));
                        }
                        else
                        {
                            ddq.Add("field", NumericRangeQuery.NewDoubleRange("field", range.Min, range.Max, range.MinInclusive, range.MaxInclusive));
                        }
                    }
                    else
                    {
                        ddq.Add("field", range.GetFilter(fastMatchFilter, vs));
                    }

                    Assert.AreEqual(expectedCounts[rangeID], s.Search(ddq, 10).TotalHits);
                }
            }

            IOUtils.Close(w, r, dir);
        }
예제 #2
0
        public virtual void TestRandomFloats()
        {
            Directory         dir = NewDirectory();
            RandomIndexWriter w   = new RandomIndexWriter(
#if FEATURE_INSTANCE_TESTDATA_INITIALIZATION
                this,
#endif
                Random, dir);

            int numDocs = AtLeast(1000);

            float[] values   = new float[numDocs];
            float   minValue = float.PositiveInfinity;
            float   maxValue = float.NegativeInfinity;

            for (int i = 0; i < numDocs; i++)
            {
                Document doc = new Document();
                float    v   = Random.NextSingle();
                values[i] = v;
                doc.Add(new SingleDocValuesField("field", v));
                doc.Add(new SingleField("field", v, Field.Store.NO));
                w.AddDocument(doc);
                minValue = Math.Min(minValue, v);
                maxValue = Math.Max(maxValue, v);
            }
            IndexReader r = w.GetReader();

            IndexSearcher s      = NewSearcher(r);
            FacetsConfig  config = new FacetsConfig();

            int numIters = AtLeast(10);

            for (int iter = 0; iter < numIters; iter++)
            {
                if (VERBOSE)
                {
                    Console.WriteLine("TEST: iter=" + iter);
                }
                int           numRange         = TestUtil.NextInt32(Random, 1, 5);
                DoubleRange[] ranges           = new DoubleRange[numRange];
                int[]         expectedCounts   = new int[numRange];
                float         minAcceptedValue = float.PositiveInfinity;
                float         maxAcceptedValue = float.NegativeInfinity;
                if (VERBOSE)
                {
                    Console.WriteLine("TEST: " + numRange + " ranges");
                }
                for (int rangeID = 0; rangeID < numRange; rangeID++)
                {
                    double min;
                    if (rangeID > 0 && Random.Next(10) == 7)
                    {
                        // Use an existing boundary:
                        DoubleRange prevRange = ranges[Random.Next(rangeID)];
                        if (Random.NextBoolean())
                        {
                            min = prevRange.Min;
                        }
                        else
                        {
                            min = prevRange.Max;
                        }
                    }
                    else
                    {
                        min = Random.NextDouble();
                    }
                    double max;
                    if (rangeID > 0 && Random.Next(10) == 7)
                    {
                        // Use an existing boundary:
                        DoubleRange prevRange = ranges[Random.Next(rangeID)];
                        if (Random.NextBoolean())
                        {
                            max = prevRange.Min;
                        }
                        else
                        {
                            max = prevRange.Max;
                        }
                    }
                    else
                    {
                        max = Random.NextDouble();
                    }

                    if (min > max)
                    {
                        double x = min;
                        min = max;
                        max = x;
                    }

                    // Must truncate to float precision so that the
                    // drill-down counts (which use NRQ.newFloatRange)
                    // are correct:
                    min = (float)min;
                    max = (float)max;

                    bool minIncl;
                    bool maxIncl;
                    if (min == max)
                    {
                        minIncl = true;
                        maxIncl = true;
                    }
                    else
                    {
                        minIncl = Random.NextBoolean();
                        maxIncl = Random.NextBoolean();
                    }
                    ranges[rangeID] = new DoubleRange("r" + rangeID, min, minIncl, max, maxIncl);

                    if (VERBOSE)
                    {
                        Console.WriteLine("TEST:   range " + rangeID + ": " + ranges[rangeID]);
                    }

                    // Do "slow but hopefully correct" computation of
                    // expected count:
                    for (int i = 0; i < numDocs; i++)
                    {
                        bool accept = true;
                        if (minIncl)
                        {
                            accept &= values[i] >= min;
                        }
                        else
                        {
                            accept &= values[i] > min;
                        }
                        if (maxIncl)
                        {
                            accept &= values[i] <= max;
                        }
                        else
                        {
                            accept &= values[i] < max;
                        }
                        if (VERBOSE)
                        {
                            Console.WriteLine("TEST:   check doc=" + i + " val=" + values[i] + " accept=" + accept);
                        }
                        if (accept)
                        {
                            expectedCounts[rangeID]++;
                            minAcceptedValue = Math.Min(minAcceptedValue, values[i]);
                            maxAcceptedValue = Math.Max(maxAcceptedValue, values[i]);
                        }
                    }
                }

                FacetsCollector sfc = new FacetsCollector();
                s.Search(new MatchAllDocsQuery(), sfc);
                Filter fastMatchFilter;
                if (Random.NextBoolean())
                {
                    if (Random.NextBoolean())
                    {
                        fastMatchFilter = NumericRangeFilter.NewSingleRange("field", minValue, maxValue, true, true);
                    }
                    else
                    {
                        fastMatchFilter = NumericRangeFilter.NewSingleRange("field", minAcceptedValue, maxAcceptedValue, true, true);
                    }
                }
                else
                {
                    fastMatchFilter = null;
                }
                ValueSource vs     = new SingleFieldSource("field");
                Facets      facets = new DoubleRangeFacetCounts("field", vs, sfc, fastMatchFilter, ranges);
                FacetResult result = facets.GetTopChildren(10, "field");
                Assert.AreEqual(numRange, result.LabelValues.Length);
                for (int rangeID = 0; rangeID < numRange; rangeID++)
                {
                    if (VERBOSE)
                    {
                        Console.WriteLine("TEST: verify range " + rangeID + " expectedCount=" + expectedCounts[rangeID]);
                    }
                    LabelAndValue subNode = result.LabelValues[rangeID];
                    Assert.AreEqual("r" + rangeID, subNode.Label);
                    Assert.AreEqual(expectedCounts[rangeID], (int)subNode.Value);

                    DoubleRange range = ranges[rangeID];

                    // Test drill-down:
                    DrillDownQuery ddq = new DrillDownQuery(config);
                    if (Random.NextBoolean())
                    {
                        if (Random.NextBoolean())
                        {
                            ddq.Add("field", NumericRangeFilter.NewSingleRange("field", (float)range.Min, (float)range.Max, range.MinInclusive, range.MaxInclusive));
                        }
                        else
                        {
                            ddq.Add("field", NumericRangeQuery.NewSingleRange("field", (float)range.Min, (float)range.Max, range.MinInclusive, range.MaxInclusive));
                        }
                    }
                    else
                    {
                        ddq.Add("field", range.GetFilter(fastMatchFilter, vs));
                    }
                    Assert.AreEqual(expectedCounts[rangeID], s.Search(ddq, 10).TotalHits);
                }
            }

            IOUtils.Dispose(w, r, dir);
        }